文章基本信息

标题：Medical Image Classification Using Information Gain for Global Feature Reduction
本地全文：下载
作者：T.Baranidharan ; Dr.D.K.Ghosh
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：6
页码：2773-2775
出版社：TechScience Publications
摘要：Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, it is proposed to investigate the efficacy of information gain of the extracted energy with respect to the class. Results obtained from the proposed method indicate the classification accuracy is not affected by our proposed data reduction method.
关键词：Fast Hilbert Transform; Image Classification;Medical Images; Information gain.